


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE     :					Optional[Any]      =       logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE     :					int      =       {
    "facebook/deit-base-distilled-patch16-224": (
        "https://huggingface.co/facebook/deit-base-patch16-224/resolve/main/config.json"
    ),
    # See all DeiT models at https://huggingface.co/models?filter=deit
}

class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						'deit'
    def __init__(			self     ,   __snake_case=7_6_8     ,   __snake_case=1_2     ,   __snake_case=1_2     ,   __snake_case=3_0_7_2     ,   __snake_case="gelu"     ,   __snake_case=0.0     ,   __snake_case=0.0     ,   __snake_case=0.02     ,   __snake_case=1E-12     ,   __snake_case=2_2_4     ,   __snake_case=1_6     ,   __snake_case=3     ,   __snake_case=True     ,   __snake_case=1_6     ,   **__snake_case     ,   ):
         super().__init__(**__snake_case       )

         snake_case											=							hidden_size
         snake_case											=							num_hidden_layers
         snake_case											=							num_attention_heads
         snake_case											=							intermediate_size
         snake_case											=							hidden_act
         snake_case											=							hidden_dropout_prob
         snake_case											=							attention_probs_dropout_prob
         snake_case											=							initializer_range
         snake_case											=							layer_norm_eps
         snake_case											=							image_size
         snake_case											=							patch_size
         snake_case											=							num_channels
         snake_case											=							qkv_bias
         snake_case											=							encoder_stride






class     A__   (       snake_case__      ):







    """simple docstring"""

    __magic_name__         =						version.parse('1.11'      )
    @property
    def 						a_     (			self       ):
         return OrderedDict(
             [
                 ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
             ]       )




    @property
    def 						a_     (			self       ):
         return 1E-4








from functools import lru_cache
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							2
     snake_case											=							set()
     while i * i <= n:
          if n % i:
               i += 1
          else:
               n //= i
               factors.add(UpperCamelCase_							)
     if n > 1:
          factors.add(UpperCamelCase_							)
     return factors
@lru_cache
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     return len(unique_prime_factors(UpperCamelCase_							)							)
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     return len(set(UpperCamelCase_							)							) in (0, 1)
def      UpperCAmelCase__		(UpperCamelCase_							):



     """simple docstring"""






     snake_case											=							2

     while True:
          # Increment each value of a generated range
          snake_case											=							[base + i for i in range(UpperCamelCase_							)]

          # Run elements through out unique_prime_factors function
          # Append our target number to the end.
          snake_case											=							[upf_len(UpperCamelCase_							) for x in group]
          checker.append(UpperCamelCase_							)

          # If all numbers in the list are equal, return the group variable.
          if equality(UpperCamelCase_							):
               return group

          # Increment our base variable by 1
          base += 1
def      UpperCAmelCase__		(UpperCamelCase_ = 4							):



     """simple docstring"""






     snake_case											=							run(UpperCamelCase_							)
     return results[0] if len(UpperCamelCase_							) else None


if __name__ == "__main__":
 print(solution())




